Spring 2021

Theoretical Statistics

Listed in: Mathematics and Statistics, as MATH-370  |  Mathematics and Statistics, as STAT-370

Formerly listed as: MATH-30


Kevin Donges (Section 01)


(Offered as STAT 370 and MATH 370) This course examines the theory underlying common statistical procedures including visualization, exploratory analysis, estimation, hypothesis testing, modeling, and Bayesian inference. Topics include maximum likelihood estimators, sufficient statistics, confidence intervals, hypothesis testing and test selection, non-parametric procedures, and linear models.

Students will engage with the material through asynchronous lecture videos and individual learning activities along with synchronous question and answer sessions and team based learning activities. In addition, students will engage with each other and the material on the Campuswire platform.

Requisite: STAT 111 or STAT 135 and STAT 360, or consent of the instructor. Limited to 25 students. Spring semester. Professor Donges.

If Overenrolled: Priority for Statistics majors, then Mathematics majors.


Online Only, Quantitative Reasoning


2022-23: Not offered
Other years: Offered in Spring 2009, Spring 2013, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022